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Improvement of Spatial Discretization Error on the Semi-analytic Nodal Method Using the Scattered Source Subtraction Method

机译:利用散点源减法改进半解析节点法的空间离散误差

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摘要

In this paper, the scattered source subtraction (SSS) method is newly proposed to improve the spatial discretization error of the semi-analytic nodal method with the flat-source approximation. In the SSS method, the scattered source is subtracted from both side of the diffusion or the transport equation to make spatial variation of the source term to be small. The same neutron balance equation is still used in the SSS method. Since the SSS method just modifies coefficients of node coupling equations (those used in evaluation for the response of partial currents), its implementation is easy. Validity of the present method is verified through test calculations that are carried out in PWR multi-assemblies configurations. The calculation results show that the SSS method can significantly improve the spatial discretization error. Since the SSS method does not have any negative impact on execution time, convergence behavior and memory requirement, it will be useful to reduce the spatial discretization error of the semi-analytic nodal method with the flat-source approximation.
机译:为了提高半解析节点法在平面源近似下的空间离散误差,本文提出了一种新的散射源减法。在SSS方法中,从扩散或传输方程的两侧减去散射源,以使源项的空间变化较小。 SSS方法中仍使用相同的中子平衡方程。由于SSS方法仅修改节点耦合方程式的系数(用于评估部分电流响应的系数),因此其实现很容易。通过在PWR多组件配置中执行的测试计算,验证了本方法的有效性。计算结果表明,SSS方法可以显着改善空间离散误差。由于SSS方法对执行时间,收敛行为和内存需求没有任何负面影响,因此使用平坦源近似方法来减少半解析节点方法的空间离散误差将非常有用。

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